39 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at Northeastern University
Sort by
Refine Your Search
-
using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological, genetic, and computational methods
-
using existing methods and theories. Assists the supervisor in the interpretation and publication of results and assists in reporting related to grants. Maintains the laboratory and may exercise
-
determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
-
electronics. We are committed to discovering novel magnetic and electronic phenomena and exploring their potential for next-generation microelectronic and computing technologies. RESPONSIBILITIES
-
information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
-
underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
-
microfluidics channels experimentally. The particle dynamics under solute concentration gradient will be analyzed and new methods of manipulating particles in complex geometries will be developed. Application
-
. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
-
: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence microscopy. Applications must include a cover letter
-
of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven